AI agents call search_videos to retrieve information from YouTube MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name and the pattern of sibling tools on this server, search_videos most likely retrieves or queries video metadata from YouTube without modifying or deleting data. The server's stated purpose is analysis and extraction, not modification.
From the tool's definition Tool name 'search_videos' and context of YouTube MCP server which is focused on analysis and retrieval operations (get_comments, get_likes, get_transcript, query_transcript, summarize_transcript are all Read operations).
Documented attack patterns abuse exactly the kind of access search_videos gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YouTube MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_videos:
{
"version": "1",
"default": "deny",
"tools": {
"search_videos": {}
}
}search_videos is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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search_videos. It is categorised as a Read tool in the YouTube MCP MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP server in PolicyLayer and add a rule for search_videos: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches YouTube MCP. Nothing to install.
search_videos is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_videos rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for search_videos. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
search_videos is provided by the YouTube MCP server (prajwal-ak-0/youtube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YouTube MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 YouTube MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.